Abstract
This paper presents a centralized multivariable control strategy for the control of the DFIG wind turbine. Model of one-mass wind turbine with DFIG is represented by a third-order model. Model predictive control is applied in order to compensate inaccuracies and measurement noise. The optimization problem is recast as a Quadratic Program (QP) which is highly robust and efficient. In order to bring the problematic voltages as closely as possible to the desired values, multi-step optimization is introduced. The effectiveness of the proposed algorithm is demonstrated for a variable speed wind turbine.
| Original language | Undefined/Unknown |
|---|---|
| Title of host publication | ASME 2014 Dynamic Systems and Control Conference |
| Editors | Dynamic Systems, Control Division |
| Publisher | American Society of Mechanical Engineers, ASME |
| Pages | – |
| ISBN (Print) | 978-0-7918-4620-9 |
| DOIs | |
| Publication status | Published - 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | conference; 2014-10-22; 2014-10-24 - San Antonio, Texas, USA Duration: 22 Oct 2014 → 24 Oct 2014 |
Conference
| Conference | conference; 2014-10-22; 2014-10-24 |
|---|---|
| Period | 22/10/14 → 24/10/14 |
Keywords
- DFIG-Based Wind Turbine
- Model predictive control
- Multistep optimization